A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning-Reference-Cited by-同舟云学术

A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning

Published:2018-06-26 Issue: Volume: Page:
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Container-title:Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference
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Author:

Leal Leonardo Espinosa¹,Björk Kaj-Mikael¹,Lendasse Amaury²,Akusok Anton¹

Affiliation:

1. Arcada UAS, Helsinki, Finland

2. College of Engineering and The Iowa Informatics Initiative, The University of Iowa, Iowa City, Iowa, US

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3197768.3201525

Reference19 articles.

1. Image-based classification of websites;Akusok Anton;Machine Learning Reports,2013

2. A Fuzzy Ontology and SVM–Based Web Content Classification System

3. Leo Breiman. 2001. Random Forests. Machine Learning 45 1 (01 Oct 2001) 5--32. 10.1023/A:1010933404324 Leo Breiman. 2001. Random Forests. Machine Learning 45 1 (01 Oct 2001) 5--32. 10.1023/A:1010933404324

4. Web Page Element Classification Based on Visual Features

5. Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang and Zheng Zhang. 2015. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR abs/1512.01274 (2015). Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang and Zheng Zhang. 2015. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR abs/1512.01274 (2015).

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